Why Java? Sample Clauses

Why Java?. Although Java was not designed to be a scientific computing language [25], it has several unique features that are attractive for high-performance scientific comput- ing. Because distributions are available for virtually all computing platforms, Java is an extremely portable programming language. In addition, starting in 2007, Java has become an open source project, allowing anyone to modify and adapt it to their needs. Java has native support for multithreading, and since version 5.0 [108] it is equipped with concurrency utilities in the java.util.concurrent package. Moreover, the performance of the latest version of Java (6.0) is com- parable to the performance achieved by programs written in Fortran or C/C++ [7, 52]. Finally, sophisticated imaging functionality is built into Java, allowing for efficient visualization and animation of computational results. This is especially important for our work in image processing, but is also useful in many areas of scientific computation, such as computational fluid dynamics. However, because of certain design choices, there are also disadvantages to us- ing Java in scientific computing. These include no primitive type for complex numbers, an inability to do operator overloading, and no support for IEEE ex- tended precision floats. In addition, Java arrays were not designed for high- performance computing; a multi-dimensional array is an array of one-dimensional arrays, making it difficult to fully utilize cache memory. Moreover, Java arrays are not resizable, and only 32-bit array indexing is possible. Finally, GPGPU is cur- rently not possible in Java. There are libraries, such as JCuda [67], that provide Java bindings to CUDA, but they are only wrappers to underlying C code.
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